code: def feature_matrix():
      feature_matrix = pd.DataFrame(
          {
              "test": [0, 1, 2],
              "no_null": [np.nan, 0, 0],
              "some_null": [np.nan, 0, 0],
              "all_null": [np.nan, np.nan, np.nan],
              "many_value": [1, 2, 3],
              "dup_value": [1, 1, 2],
              "one_value": [1, 1, 1],
          },
      )
      return feature_matrix
  
file_path: featuretools/featuretools/tests/selection/test_selection.py
imports: import numpy
  import pandas
  import pytest
  from woodwork.column_schema import ColumnSchema
  from woodwork.logical_types import Boolean, BooleanNullable, NaturalLanguage
  from featuretools import EntitySet, Feature, dfs
  from featuretools.selection import remove_highly_correlated_features, remove_highly_null_features, remove_low_information_features, remove_single_value_features
  from featuretools.tests.testing_utils import make_ecommerce_entityset
label_desc: Use image node_id 1 for calling a global function with example usage: feature_matrix() and returns: feature_matrix